DocumentCode
2137675
Title
Fuzzy, probabilistic and evidential reasoning in Fril
Author
Baldwin, J.F.
Author_Institution
Dept. of Eng. Math., Bristol Univ., UK
fYear
1993
fDate
1993
Firstpage
459
Abstract
The form, inference method and theory for the rules in the AI programming language Fril are discussed. The extended and evidential logic rules are additional to previous forms and allow for many new types of applications involving causal nets and case-based reasoning. Semantic unification plays an important part in the inference process, which is also discussed
Keywords
artificial intelligence; case-based reasoning; fuzzy logic; high level languages; probabilistic logic; AI programming language; Fril; case-based reasoning; causal nets; evidential logic rules; evidential reasoning; extended logic rules; fuzzy reasoning; inference method; probabilistic reasoning; semantic unification; Artificial intelligence; Bismuth; Computer languages; Fellows; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Knowledge representation; Logic programming; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0614-7
Type
conf
DOI
10.1109/FUZZY.1993.327511
Filename
327511
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